/*=========================================================================
 *
 *  Copyright Insight Software Consortium
 *
 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
 *  You may obtain a copy of the License at
 *
 *         http://www.apache.org/licenses/LICENSE-2.0.txt
 *
 *  Unless required by applicable law or agreed to in writing, software
 *  distributed under the License is distributed on an "AS IS" BASIS,
 *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  See the License for the specific language governing permissions and
 *  limitations under the License.
 *
 *=========================================================================*/

#include "itkPolyLineParametricPath.h"
#include "itkChainCodePath.h"
#include "itkFourierSeriesPath.h"
#include "itkPathToChainCodePathFilter.h"
#include "itkChainCodeToFourierSeriesPathFilter.h"
#include "itkExtractOrthogonalSwath2DImageFilter.h"
#include "itkImageFileWriter.h"
#include "itkTestingMacros.h"

int
itkExtractOrthogonalSwath2DImageFilterTest(int argc, char * argv[])
{
  if (argc != 2)
  {
    std::cerr << "Usage: " << std::endl;
    std::cerr << itkNameOfTestExecutableMacro(argv) << " outputImage " << std::endl;
    return EXIT_FAILURE;
  }

  constexpr unsigned int Dimension = 2;
  using PixelType = unsigned char;

  using ImageType = itk::Image<PixelType, Dimension>;
  using PolyLineParametricPathType = itk::PolyLineParametricPath<Dimension>;
  using ChainCodePathType = itk::ChainCodePath<Dimension>;
  using FourierSeriesPathType = itk::FourierSeriesPath<Dimension>;

  using VertexType = PolyLineParametricPathType::VertexType;
  using IndexType = ImageType::IndexType;

  using PathToChainCodePathFilterType = itk::PathToChainCodePathFilter<PolyLineParametricPathType, ChainCodePathType>;
  using ChainCodeToFourierSeriesPathFilterType =
    itk::ChainCodeToFourierSeriesPathFilter<ChainCodePathType, FourierSeriesPathType>;
  using ExtractOrthogonalSwath2DImageFilterType = itk::ExtractOrthogonalSwath2DImageFilter<ImageType>;


  // Set up the image
  std::cout << "Making a 64x64 white square centered in a 128x128 black image" << std::endl;
  ImageType::Pointer inputImage = ImageType::New();
  IndexType          start;
  start[0] = 0;
  start[1] = 0;
  ImageType::SizeType size;
  size[0] = 128;
  size[1] = 128;
  ImageType::RegionType region;
  region.SetSize(size);
  region.SetIndex(start);
  inputImage->SetRegions(region);
  double spacing[ImageType::ImageDimension];
  spacing[0] = 1.0;
  spacing[1] = 1.0;
  inputImage->SetSpacing(spacing);

  inputImage->Allocate();

  using ImageRegionIteratorType = itk::ImageRegionIterator<ImageType>;
  ImageRegionIteratorType it(inputImage, inputImage->GetRequestedRegion());
  it.GoToBegin();
  IndexType pixelIndex;
  while (!it.IsAtEnd())
  {
    pixelIndex = it.GetIndex();
    if (pixelIndex[0] >= int(size[0] / 4) && pixelIndex[0] < int(size[0] * 3 / 4) &&
        pixelIndex[1] >= int(size[1] / 4) && pixelIndex[1] < int(size[1] * 3 / 4))
    {
      it.Set(255);
    }
    else
    {
      it.Set(0);
    }
    ++it;
  }

  // Set up the path
  std::cout << "Making a square Path with v0 at (24,24) -> (24,104) -> (104,104) -> (104,24)" << std::endl;
  PolyLineParametricPathType::Pointer inputPath = PolyLineParametricPathType::New();
  VertexType                          v;
  v.Fill(24);
  inputPath->AddVertex(v);
  v[0] = 24;
  v[1] = 104;
  inputPath->AddVertex(v);
  v.Fill(104);
  inputPath->AddVertex(v);
  v[0] = 104;
  v[1] = 24;
  inputPath->AddVertex(v);
  v.Fill(24);
  inputPath->AddVertex(v);

  // Set up the first filter
  PathToChainCodePathFilterType::Pointer pathToChainCodePathFilter = PathToChainCodePathFilterType::New();
  pathToChainCodePathFilter->SetInput(inputPath);
  ChainCodePathType::Pointer chainPath = pathToChainCodePathFilter->GetOutput();

  // Set up the second filter
  ChainCodeToFourierSeriesPathFilterType::Pointer chainCodeToFourierSeriesPathFilte =
    ChainCodeToFourierSeriesPathFilterType::New();
  chainCodeToFourierSeriesPathFilte->SetInput(pathToChainCodePathFilter->GetOutput());
  chainCodeToFourierSeriesPathFilte->SetNumberOfHarmonics(7); // make a nice, round, path for the swath
  FourierSeriesPathType::Pointer outputPath = chainCodeToFourierSeriesPathFilte->GetOutput();

  // Set up the third filter; THIS IS THE MAIN FILTER TO BE TESTED
  ExtractOrthogonalSwath2DImageFilterType::Pointer extractOrthogonalSwath2DImageFilter =
    ExtractOrthogonalSwath2DImageFilterType::New();

  ITK_EXERCISE_BASIC_OBJECT_METHODS(
    extractOrthogonalSwath2DImageFilter, ExtractOrthogonalSwath2DImageFilter, ImageAndPathToImageFilter);

  extractOrthogonalSwath2DImageFilter->SetImageInput(inputImage);
  extractOrthogonalSwath2DImageFilter->SetPathInput(chainCodeToFourierSeriesPathFilte->GetOutput());
  // Set the desired size of the filter's output
  size[0] = 512;
  size[1] = 21 * 2 + 1;
  extractOrthogonalSwath2DImageFilter->SetSize(size);

  // Set up the output
  ImageType::Pointer outputImage = extractOrthogonalSwath2DImageFilter->GetOutput();

  // Test spacing
  double pathImageSpacing[ImageType::ImageDimension];

  for (double & i : pathImageSpacing)
  {
    i = 1.0;
  }
  extractOrthogonalSwath2DImageFilter->SetSpacing(pathImageSpacing);
  const double * spacing_result = extractOrthogonalSwath2DImageFilter->GetSpacing();

  for (unsigned int i = 0; i < ImageType::ImageDimension; ++i)
  {
    if (spacing_result[i] != 1.0)
    {
      std::cout << "Test failed" << std::endl;
      return EXIT_FAILURE;
    }
  }

  // Test origin
  double pathImageOrigin[ImageType::ImageDimension];

  for (double & i : pathImageOrigin)
  {
    i = 0.0;
  }
  extractOrthogonalSwath2DImageFilter->SetOrigin(pathImageOrigin);
  const double * origin_result = extractOrthogonalSwath2DImageFilter->GetOrigin();

  for (unsigned int i = 0; i < ImageType::ImageDimension; ++i)
  {
    if (origin_result[i] != 0.0)
    {
      std::cout << "Test failed" << std::endl;
      return EXIT_FAILURE;
    }
  }


  // Update the pipeline
  ITK_TRY_EXPECT_NO_EXCEPTION(outputImage->Update());

  // Test pipeline execution
  //

  // Test only pixels definitely inside or outside the original white square
  ImageType::IndexType index;

  for (unsigned int col = 0; col < size[0]; ++col)
  {
    index[0] = col;
    index[1] = 1;
    if (outputImage->GetPixel(index) != 255)
    {
      std::cout << "index " << index << " = " << int(outputImage->GetPixel(index)) << ": [FAILURE]" << std::endl;
      return EXIT_FAILURE;
    }

    index[0] = col;
    index[1] = size[1] - 2;
    if (outputImage->GetPixel(index) != 0)
    {
      std::cout << "index " << index << " = " << int(outputImage->GetPixel(index)) << ": [FAILURE]" << std::endl;
      return EXIT_FAILURE;
    }
  }

  itk::ImageFileWriter<ImageType>::Pointer writer = itk::ImageFileWriter<ImageType>::New();
  writer->SetInput(extractOrthogonalSwath2DImageFilter->GetOutput());
  writer->SetFileName(argv[1]);

  ITK_TRY_EXPECT_NO_EXCEPTION(writer->Write());

  std::cout << "Test finished" << std::endl;

  return EXIT_SUCCESS;
}
